Ran Yan

143 papers receiving 2.4k citations

Ran Yan's Hit Papers

Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities 2024 · 52 citations
520+1Years since publication1020304050

Peers

Ran Yan
Comparison fields: 5 of 136
  • Industrial and Manufacturing Engineering 741
  • Environmental Engineering 867
  • Ocean Engineering 821
  • General Energy 28
  • Automotive Engineering 282
Replace Chengpeng Wan with:
Chengpeng Wan China
Yaqing Shu China
Christos A. Kontovas United Kingdom
C. Gil Spain
Liye Zhang China
Wenyuan Wang China
Carlos Ocampo‐Martínez Spain
Yi Zhang China
Raúl Baños Spain
Xiao Zhou China
Ran Yan relative to Chengpeng Wan China Chengpeng Wan's profile →
Citations per field
00.5×6.7×
Chengpeng Wan · 1×
Citations per year

Countries citing papers authored by Ran Yan

Since Specialization
Citations

This map shows the geographic impact of Ran Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ran Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Yan more than expected).

Fields of papers citing papers by Ran Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ran Yan. The network helps show where Ran Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ran Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Yan Line = papers co-authored together Ran Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 2019108
3 202197
4 201997
5 201595
6 202172
7 202065
8 202059
9 201958
10 202156
11 202253
12 202153
13 201353
14
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Hit paper breakdown →
202452
15 202347
16 202244
17 202343
18 202342
19 201942
20 202340

About Ran Yan

Ran Yan is a scholar working on Ocean Engineering, Environmental Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering and Automotive Engineering, having authored 156 papers that have together received 2.4k indexed citations. Recurring topics across this work include Maritime Navigation and Safety (49 papers), Maritime Transport Emissions and Efficiency (42 papers), Maritime Ports and Logistics (38 papers), Vehicle emissions and performance (12 papers), Structural Integrity and Reliability Analysis (10 papers), Risk and Safety Analysis (9 papers), Transportation Planning and Optimization (7 papers) and Coastal wetland ecosystem dynamics (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (741 citations), Environmental Engineering (867 citations), Ocean Engineering (821 citations), General Energy (28 citations) and Automotive Engineering (282 citations). Ran Yan has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Shuaian Wang, Lu Zhen, Yuquan Du, Harilaos N. Psaraftis, Dan Zhuge, Xiaobo Qu, Kjetil Fagerholt, Mingyang Zhang, Zhuang Hu and Lin Zhou. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Transportation Research Part E Logistics and Transportation Review, Maritime Policy & Management, Transportation Research Part B Methodological and Ocean & Coastal Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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